ML Research Engineer
Foundation Models
Confirmed live in the last 24 hours
Wispr AI

11-50 employees

Neural interface design development company
Company Overview
Wispr's mission is to build neural interfaces for every single person and in the process, help them achieve a lot more. They are building the next generation of neurotech-enabled consumer electronics.
AI & Machine Learning
B2B

Company Stage

Seed

Total Funding

$14.6M

Founded

2021

Headquarters

South San Francisco, California

Growth & Insights
Headcount

6 month growth

-8%

1 year growth

130%

2 year growth

283%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Pytorch
AWS
Pandas
Natural Language Processing (NLP)
NumPy
CategoriesNew
AI & Machine Learning
Requirements
  • MS or Ph.D. in computer science, machine learning, or related engineering field
  • 3+ years of hands-on research experience in machine learning (in academia or industry)
  • Strong research/publication track record
  • Experience in Python and deep learning libraries (Pytorch, Numpy, Pandas, etc.)
  • Hands on experience with cloud computing (e.g. AWS)
  • Outstanding team player and communicator
Responsibilities
  • Design and improve deep learning architectures for neural signals from novel hardware
  • Scale up data collection and run experiments on large datasets
  • Setup best practices for ML research and set company-wide benchmarks to test models
  • Explore and invent novel ways to decode neural signals with low latency
  • Collaborate with neuroscientists, ML engineers, and interaction designers to unlock new capabilities to design the most natural and seamless human-computer interactions
Desired Qualifications
  • Hands on experience building foundation models from scratch
  • Contributing to open source ML libraries
  • Experience working with bio-signals (EMG, EEG, EKG, etc), or real-world noisy data (eg. self-driving cars)
  • Experience with novel methods for increasing model performance - including leveraging synthetic data, unsupervised pre-training, etc.
  • Experience working on ASR or NLP systems
  • Research in a deep tech company or special projects group